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Python

Get up and running with object-oriented programming by watching our Python tutorials. Expert-taught videos on this open-source software explain how to write Python code, including creating functions and objects, and offer Python examples like a normalized database interface and a CRUD application.

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Explore Python Courses

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Learn 5 Programming Languages in One Course...

By : Faisal Zamir

Learn Five (5) Programming Languages in One Course | Python | JavaScript | CSharp | C...

4 767

59 lectures All Level   

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Python For Data Science - Real Time Coding Exercises...

By : Data Science Lovers DSL

First step towards Data Science...

4.1 470

7:14:6 hrs   40 lectures All Level   

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Python Basic to Advance with Django(Basic) -2023-Hindi...

By : ashutosh kumar

Complete Python and Django: Go from zero to hero in Python 3 and Django...

4.6 882

2:6:14 hrs   24 lectures All Level   

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The Ultimate Scientific and Numeric Computing in Python Boot...

By : Shivek Maharaj

Master the two most popular Data Science and Machine Learning frameworks used for Sci...

4.1 603

14 lectures All Level   

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Learn Python With Real-World Coding...

By : Awoke Zemenu Getahun

learn python programing language by building real world projects as a beginner ...

4 588

2:47:31 hrs   22 lectures All Level   

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Python - Data Analytics - Real World Hands-on Projects...

By : Data Science Lovers DSL

Start learning data analysis with these beginners friendly projects...

4 1047

16 lectures All Level   

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Master in Core Python Programming in 99Days...

By : Faisal Zamir

Learn Python Programming in 99 Days with Theoretical concepts, Practical, Examples, A...

4.3 562

17:27:46 hrs   538 lectures All Level   

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Complete Python 2023 For Absolute Beginners...

By : Hassan Shoayb

Build a complete understanding of Python from the ground up!...

4.1 708

2:53:19 hrs   18 lectures All Level   

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The Complete Haskell Course: From Zero to Expert!...

By : Lucas Bazilio

The modern Haskell course for everyone! Master Haskell with projects, challenges and ...

4.3 493

1:30:37 hrs   18 lectures All Level   

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Creating Smart Maps with Python and Leaflet Windows Version...

By : Edwin Bomela

Learn GeoDjango, by building a Web GIS Application...

4 663

2:45:50 hrs   28 lectures All Level   

  • What is Python?

    Python is a high-level, interpreted programming language known for its readability, simplicity, and versatility. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python is widely used in various domains, including web development, data science, artificial intelligence, and automation.

  • Why use Python for programming?

    Using Python is advantageous due to its clean and concise syntax, making it easy to learn and read. It has a vast standard library and a large ecosystem of third-party packages, facilitating rapid development across different domains. Python's versatility and community support contribute to its popularity.

  • How does Python work?

    Python works by interpreting source code at runtime, making it a dynamically-typed language. It uses an indentation-based syntax to define code blocks, emphasizing readability. Python supports both scripting and object-oriented programming, making it suitable for a wide range of applications.

  • What elements are important in Python development?

    Key elements in Python development include variables, data types, control structures (such as loops and conditionals), functions, and classes for object-oriented programming. Python's extensive standard library, which includes modules for tasks like file I/O, networking, and regular expressions, is crucial for developers.

  • Can anyone use Python for programming?

    Yes, Python is accessible to developers of all levels, from beginners to experienced professionals. Its simplicity makes it an excellent language for those learning to program, while its versatility and performance make it a preferred choice for a wide range of applications. The Python community, documentation, and online resources contribute to the language's accessibility and popularity.

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